Search Results - "Kankanhalli, Mohan S."

Emotional Attention: From Eye Tracking to Computational Modeling by Fan, Shaojing, Shen, Zhiqi, Jiang, Ming, Koenig, Bryan L., Kankanhalli, Mohan S., Zhao, Qi

“…Attending selectively to emotion-eliciting stimuli is intrinsic to human vision. In this research, we investigate how emotion-elicitation features of images…”
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Ultra-rapid object categorization in real-world scenes with top-down manipulations by Xu, Bingjie, Kankanhalli, Mohan S, Zhao, Qi

“…Humans are able to achieve visual object recognition rapidly and effortlessly. Object categorization is commonly believed to be achieved by interaction between…”
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Hierarchical multi-view aggregation network for sensor-based human activity recognition by Zhang, Xiheng, Wong, Yongkang, Kankanhalli, Mohan S, Geng, Weidong

“…Sensor-based human activity recognition aims at detecting various physical activities performed by people with ubiquitous sensors. Different from existing deep…”
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Multi-Modal and Multi-Domain Embedding Learning for Fashion Retrieval and Analysis by Gu, Xiaoling, Wong, Yongkang, Shou, Lidan, Peng, Pai, Chen, Gang, Kankanhalli, Mohan S.

“…Big data analytics has been revolutionizing the fashion industry in recent years. This is evidenced by the fact that popular fashion brands and designers have…”
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When and Why Static Images Are More Effective Than Videos by Fan, Shaojing, Shen, Zhiqi, Koenig, Bryan L., Ng, Tian-Tsong, Kankanhalli, Mohan S.

“…People often prefer videos over images in research and applications, believing that videos are more effective for eliciting human emotions and building machine…”
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Learning to Learn From Noisy Labeled Data by Li, Junnan, Wong, Yongkang, Zhao, Qi, Kankanhalli, Mohan S.

“…Despite the success of deep neural networks (DNNs) in image classification tasks, the human-level performance relies on massive training data with high-quality…”
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Interact as You Intend: Intention-Driven Human-Object Interaction Detection by Xu, Bingjie, Li, Junnan, Wong, Yongkang, Zhao, Qi, Kankanhalli, Mohan S.

“…The recent advances in instance-level detection tasks lay strong foundation for genuine comprehension of the visual scenes. However, the ability to fully…”
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DeepDance: Music-to-Dance Motion Choreography With Adversarial Learning by Sun, Guofei, Wong, Yongkang, Cheng, Zhiyong, Kankanhalli, Mohan S., Geng, Weidong, Li, Xiangdong

“…The creation of improvised dancing choreographies is an important research field of cross-modal analysis. A key point of this task is how to effectively create…”
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Video Storytelling: Textual Summaries for Events by Li, Junnan, Wong, Yongkang, Zhao, Qi, Kankanhalli, Mohan S.

“…Bridging vision and natural language is a longstanding goal in computer vision and multimedia research. While earlier works focus on generating a…”
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Predicting human gaze beyond pixels by Xu, Juan, Jiang, Ming, Wang, Shuo, Kankanhalli, Mohan S, Zhao, Qi

“…A large body of previous models to predict where people look in natural scenes focused on pixel-level image attributes. To bridge the semantic gap between the…”
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Visual Social Relationship Recognition by Li, Junnan, Wong, Yongkang, Zhao, Qi, Kankanhalli, Mohan S.

“…Social relationships form the basis of social structure of humans. Developing computational models to understand social relationships from visual data is…”
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Protecting sensitive place visits in privacy-preserving trajectory publishing by Wang, Nana, Kankanhalli, Mohan S

“…•We propose a method for privacy-preserving trajectory publishing.•It aims at protecting sensitive place visits.•Sensitive zones are generated around sensitive…”
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Video Snapshot Compressive Imaging Using Residual Ensemble Network by Sun, Yubao, Chen, Xunhao, Kankanhalli, Mohan S., Liu, Qingshan, Li, Junxia

“…Video snapshot compressive imaging (SCI) system enables high-frame-rate imaging by projecting multiple frames into a 2D snapshot measurement during a single…”
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Multimodal fusion for multimedia analysis: a survey by Atrey, Pradeep K., Hossain, M. Anwar, El Saddik, Abdulmotaleb, Kankanhalli, Mohan S.

“…This survey aims at providing multimedia researchers with a state-of-the-art overview of fusion strategies, which are used for combining multiple modalities in…”
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Relation-Aware Compositional Zero-Shot Learning for Attribute-Object Pair Recognition by Xu, Ziwei, Wang, Guangzhi, Wong, Yongkang, Kankanhalli, Mohan S.

“…This paper proposes a novel model for recognizing images with composite attribute-object concepts, notably for composite concepts that are unseen during model…”
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Toward Multi-Modal Conditioned Fashion Image Translation by Gu, Xiaoling, Yu, Jun, Wong, Yongkang, Kankanhalli, Mohan S.

“…Having the capability to synthesize photo-realistic fashion product images conditioned on multiple attributes or modalities would bring many new exciting…”
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Learning to Detect Human-Object Interactions With Knowledge by Xu, Bingjie, Wong, Yongkang, Li, Junnan, Zhao, Qi, Kankanhalli, Mohan S.

“…The recent advances in instance-level detection tasks lay a strong foundation for automated visual scenes understanding. However, the ability to fully…”
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Semantic-Aware Triplet Loss for Image Classification by Wang, Guangzhi, Guo, Yangyang, Xu, Ziwei, Wong, Yongkang, Kankanhalli, Mohan S.

“…Successful image classification requires a discriminative representation learning model for images. To approach this idea, deep metric learning (DML), serving…”
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Learning to Minimize the Remainder in Supervised Learning by Luo, Yan, Wong, Yongkang, Kankanhalli, Mohan S., Zhao, Qi

“…The learning process of deep learning methods usually updates the model's parameters in multiple iterations. Each iteration can be viewed as the first-order…”
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Photography and Exploration of Tourist Locations Based on Optimal Foraging Theory by Rawat, Yogesh Singh, Shah, Mubarak, Kankanhalli, Mohan S.

“…Animals search for food in their environment with a decision strategy which keeps them fit. Optimal foraging theory models this foraging behavior to determine…”
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